The accurate reproduction of unique pulse states in a mode-locked fiber laser is an
important scientific issue and has wide applications in the laser industry. We present what …

Deep Learning (DL) has dominated a wide range of applications due to its state-of-the-art
performance. Novel approaches introduce Artificial Neural Networks (ANNs) on fiber …

The absorption of a single photon that excites a quantum system from a low to a high energy
level is an elementary process of light-matter interaction, and a route towards realizing pure …

Due to the electronic bottleneck limited real-time measurement speed of common temporal-
spectral detection and the particle-like nature of optical soliton enabled nonrepeatable …

The use of femtosecond lasers in industrial, biomedical, and defense related applications
during the last 15 years has necessitated a detailed understanding of pulse propagation …

The precise control over optical pulse parameters in fiber systems is crucial in many
applications. Our research focuses on optimizing optical femtosecond pulses for nonlinear …

In long-haul optical communication systems, compensating nonlinear effects through digital
signal processing (DSP) is difficult due to intractable interactions between Kerr nonlinearity …

Slow and fast light enables key functionality in various rf applications and all-optical
networks. Semiconductor-based schemes offer electrical control of velocity at very high …

In this work we numerically analyze a photonic unconventional accelerator based on the
four-wave mixing effect in highly nonlinear waveguides. The proposed scheme can act as a …

We propose the two-subnet physical information neural network with the weighted loss
function (WL-tsPINN) to study the higher-order effects of ultra-short pulses in birefringence …